Forecasting Iron Price by Hybrid Intelligent System

Vida Varahrami ()
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Vida Varahrami: Assistant Professor of University of Shahid Beheshti, Iran

International Journal of Economics and Financial Research, 2015, vol. 1, issue 1, 6-12

Abstract: Novel hybrid intelligent framework is introduces by integration of GMDH neural networks with Web -based Text Mining (WTM) and GA and Rule-based Exert System (RES) in this paper for forecast iron price. Our research reveals that by employing hybrid intelligent fr amework for iron price forecasting, there is better forecasting results respect to the GMDH neural networks. Therefore significance of this study is to survey a hybrid intelligent framework for iron price forecasting.

Keywords: Iron price forecasting; Group Method of Data Handling (GMDH) neural networks; Hybrid Intelligent System; Rule–based Expert System (RES); Web-based Text Mining (WTM). (search for similar items in EconPapers)
Date: 2015
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